TCIA DOIs
Child pages
  • RIDER Lung CT Segmentation Labels from: Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach (RIDER-LungCT-Seg)

Versions Compared

Old Version 3

changes.mady.by.user Justin Kirby

Saved on

compared with

New Version 4

changes.mady.by.user Geri Blake

Saved on

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

...

Info
titlePublication Citation

Aerts, H. J. W. L., Velazquez, E. R., Leijenaar, R. T. H., Parmar, C., Grossmann, P., Cavalho, S., … Lambin, P. (2014, June 3). Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nature Communications. Nature Publishing Group. http://doi.org/10.1038/ncomms5006 

Download

Note:  Please contact help@cancerimagingarchive.net  with any questions regarding usage.

  • Original DICOM Image Data - 32 subjects (XX Gbytes)31 subjects (912 Mbytes)Image Added

Note

    • (RIDER-2283289298) only has segmentations associated with the retest.

    • (RIDER-5195703382) only has segmentations associated with the test.

    • (RIDER-8509201188) only has segmentations associated with the test.

    • (RIDER-9762593735) not included in the data set due to missing delineations.

  • Click the Download button above to save a ".tcia" manifest file to your computer, which you must open with the NBIA Data Retriever.  
  • Segmentations (RTSTRUCT / DICOM SEG??)